Explicit Measures Podcast

63: 7 Reasons DAX Is Not Easy - A Review of SQLBI's Explanation

Dec 7, 2021

01:06:32

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Highlights

AI Chapters

Episode notes

How Do You Get the Right Answer?

02:10

How Do You Model Your Data Model?

02:48

Reverse Engineering a Power by a Sample File

02:17

Introduction

3min

The New Tabular Editor 3 Feature for Debug Mode

2min

How to Write a Calculate Statement in a C Tabular Editor

5min

Seven Reasons Why Dacks Is Not Easy

2min

Learning Dacks

4min

Dax Is Simple, but Not Easy

6min

Learning a Foreign Language

3min

I've Had a Lot of Sleepless Nights Because of the Teod Have You Ever Dreamed?

5min

How Do You Get the Right Answer?

2min

10.

Getting the Right Number, Is It Outputting Right Thing?

3min

11.

The Fun Thing About Dax

3min

12.

Reverse Engineering a Power by a Sample File

2min

13.

How Do You Model Your Data Model?

3min

14.

Calculated Columns in Data Modelling

3min

15.

Is There a Problem With Dax?

2min

16.

Is It Going to Hurt or Help People Understand?

6min

17.

The New Natural Language for Tax a Worksi In, Right?

3min

18.

Using a Tabler Editor?

3min

19.

Tablear Editor's Scripting

4min

20.

Tax Generator

3min

An amazing new article by Marco Russo from SQLBI focuses on the complexities and pitfalls around the DAX language in Power BI. He outlines 7 unique reasons why DAX is not easy. The guys discuss the 7 reasons and their own experience around the article.

The guys run through the reasons and where it resonates from their own experience and how they have tackled each.

Read SQLBI's article here

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